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Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F12%3A10130827%21RIV13-GA0-11320___
rdf:type
skos:Concept n4:Vysledek
dcterms:description
A new way of comparing models for forecasting was created. The confronted models are neural networks (feed-forward neural networks and Elman's simple recurrent neural networks), ARMA models (AR and ARMA), random forecast, a trivial forecast of future value by the last known value and moving average forecast. winning model is the one which earns the most money. A new way of comparing models for forecasting was created. The confronted models are neural networks (feed-forward neural networks and Elman's simple recurrent neural networks), ARMA models (AR and ARMA), random forecast, a trivial forecast of future value by the last known value and moving average forecast. winning model is the one which earns the most money.
dcterms:title
Comparing neural networks with other predictive models in artificial stock market Comparing neural networks with other predictive models in artificial stock market
skos:prefLabel
Comparing neural networks with other predictive models in artificial stock market Comparing neural networks with other predictive models in artificial stock market
skos:notation
RIV/00216208:11320/12:10130827!RIV13-GA0-11320___
n4:predkladatel
n5:orjk%3A11320
n3:aktivita
n22:P
n3:aktivity
P(GBP402/12/G097)
n3:dodaniDat
n12:2013
n3:domaciTvurceVysledku
n9:5268524
n3:druhVysledku
n18:D
n3:duvernostUdaju
n7:S
n3:entitaPredkladatele
n13:predkladatel
n3:idSjednocenehoVysledku
127844
n3:idVysledku
RIV/00216208:11320/12:10130827
n3:jazykVysledku
n15:eng
n3:klicovaSlova
arti cial market; ARMA; Neural networks
n3:klicoveSlovo
n8:Neural%20networks n8:arti%20cial%20market n8:ARMA
n3:kontrolniKodProRIV
[C0A91D085031]
n3:mistoKonaniAkce
Karviná
n3:mistoVydani
Karviná
n3:nazevZdroje
Mathematical Methods in Economics 2012 Proceedings
n3:obor
n21:BB
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:projekt
n14:GBP402%2F12%2FG097
n3:rokUplatneniVysledku
n12:2012
n3:tvurceVysledku
Krtek, Jiří
n3:typAkce
n10:WRD
n3:zahajeniAkce
2012-09-11+02:00
s:numberOfPages
6
n17:hasPublisher
Slezská univerzita v Opavě
n19:isbn
978-80-7248-779-0
n16:organizacniJednotka
11320